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          请教各位关于我实验数据统计的问题
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               2008年3月18日 下午10:24
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              <p>
               我的实验的关于金属烤瓷研究方面的，实验控制“除气加热率”和“预氧化时间”两个条件
               <br/>
               然后得出氧化膜厚和金瓷结合强度
              </p>
              <p>
               除气加热率分别是：50   ；   100    ；  150  摄氏度/min
               <br/>
               预氧化时间分别是： 0  ； 1  ；  3   ；   5     min
              </p>
              <p>
               目前我要看这两个条件和结合强度的关系，有如下数据表
              </p>
              <p>
               预氧化时间             除气加热率
               <br/>
               50    100    150
               <br/>
               0    11.91    12.98    12.54
               <br/>
               1    13.15    13.17    16.49
               <br/>
               3    15.49    13.43    13.83
               <br/>
               5    12.83    14.48    13.89
              </p>
              <p>
               请问我应该用那种统计方法，用spss应该怎么做！
              </p>
              <p>
               谢谢了
               <br/>
               ps：如果我要是要讨论氧化膜厚度与金瓷结合强度的关系，应该用什么统计方法！
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               2008年3月19日 上午9:18
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              <p>
               这个应该算是一个正交设计的实验，可以用方差分析的方法进行分析
               <br/>
               果我要是要讨论氧化膜厚度与金瓷结合强度的关系可以用pearson相关或Spearman相关
              </p>
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               2008年3月20日 上午1:46
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               谢谢楼上的兄弟！
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               2008年3月26日 下午6:21
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              <p>
               我又重新加了几组数据，然后按照析因分析做的，请教各位一下，看我做的对不对
               <br/>
               顺便帮我解释一下结果，谢谢！！！！！！！！！！！！！！！！！！！！！！！
               <br/>
               0          50           1       11.79
               <br/>
               0          50           2       11.91
               <br/>
               0          50           3       11.98
               <br/>
               0         100           1       12.86
               <br/>
               0         100           2       12.98
               <br/>
               0         100           3       13.04
               <br/>
               0         150           1       12.44
               <br/>
               0         150           2       12.54
               <br/>
               0         150           3       12.63
               <br/>
               1          50           1       13.01
               <br/>
               1          50           2       13.15
               <br/>
               1          50           3       13.19
               <br/>
               1         100           1       13.12
               <br/>
               1         100           2       13.17
               <br/>
               1         100           3       13.21
               <br/>
               1         150           1       13.41
               <br/>
               1         150           2       13.56
               <br/>
               1         150           3       13.49
               <br/>
               3          50           1       13.95
               <br/>
               3          50           2       13.91
               <br/>
               3          50           3       14.01
               <br/>
               3         100           1       13.95
               <br/>
               3         100           2       13.43
               <br/>
               3         100           3       13.81
               <br/>
               3         150           1       13.76
               <br/>
               3         150           2       13.83
               <br/>
               3         150           3       13.94
               <br/>
               5          50           1       14.12
               <br/>
               5          50           2       13.98
               <br/>
               5          50           3       14.06
               <br/>
               5         100           1       14.61
               <br/>
               5         100           2       14.48
               <br/>
               5         100           3       14.52
               <br/>
               5         150           1       14.26
               <br/>
               5         150           2       13.89
               <br/>
               5         150           3       14.13
              </p>
              <p>
               以上是spss数据录入过程
              </p>
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               2008年3月26日 下午6:24
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              <p>
               过程是在spss界面上
              </p>
              <p>
               Analyze － General Liner Model
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               2008年3月26日 下午6:28
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              <p>
               我把结果表按照顺序贴出来，麻烦您了！
               <br/>
               表1：
               <br/>
               Between-Subjects Factors
               <br/>
               N
               <br/>
               除气加热率    50    12
               <br/>
               100    12
               <br/>
               150    12
               <br/>
               预氧化时间    0    9
               <br/>
               1    9
               <br/>
               3    9
               <br/>
               5    9
              </p>
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               2008年3月26日 下午6:29
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              <p>
               表2：
              </p>
              <p>
               Descriptive Statistics
               <br/>
               Dependent Variable: 金瓷结合强度
               <br/>
               除气加热率    预氧化时间    Mean    Std. Deviation    N
               <br/>
               50    0    11.8933    .09609    3
               <br/>
               1    13.1167    .09452    3
               <br/>
               3    13.9567    .05033    3
               <br/>
               5    14.0533    .07024    3
               <br/>
               Total    13.2550    .90755    12
               <br/>
               100    0    12.9600    .09165    3
               <br/>
               1    13.1667    .04509    3
               <br/>
               3    13.7300    .26907    3
               <br/>
               5    14.5367    .06658    3
               <br/>
               Total    13.5983    .65013    12
               <br/>
               150    0    12.5367    .09504    3
               <br/>
               1    13.4867    .07506    3
               <br/>
               3    13.8433    .09074    3
               <br/>
               5    14.0933    .18771    3
               <br/>
               Total    13.4900    .62591    12
               <br/>
               Total    0    12.4633    .47226    9
               <br/>
               1    13.2567    .18540    9
               <br/>
               3    13.8433    .17443    9
               <br/>
               5    14.2278    .25519    9
               <br/>
               Total    13.4478    .73209    36
              </p>
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               2008年3月26日 下午6:30
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              <p>
               表3：
               <br/>
               Tests of Between-Subjects Effects
               <br/>
               Dependent Variable: 金瓷结合强度
               <br/>
               Source         Type III Sum of Squares    df    Mean Square    F    Sig.
               <br/>
               Intercept    Hypothesis    921.653    1    921.653    1195.843    .000
               <br/>
               Error    2.385    3.095    .771(a)
               <br/>
               order    Hypothesis    .022    1    .022    1.597    .219
               <br/>
               Error    .320    23    .014(b)
               <br/>
               heat    Hypothesis    .739    2    .370    1.273    .346
               <br/>
               Error    1.742    6    .290(c)
               <br/>
               time    Hypothesis    15.935    3    5.312    18.293    .002
               <br/>
               Error    1.742    6    .290(c)
               <br/>
               heat * time    Hypothesis    1.742    6    .290    20.878    .000
               <br/>
               Error    .320    23    .014(b)
               <br/>
               a    .143 MS(time) + .857 MS(Error)
               <br/>
               b     MS(Error)
               <br/>
               c     MS(heat * time)
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               2008年3月26日 下午6:30
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              <p>
               表4：
               <br/>
               Expected Mean Squares(a,b)
               <br/>
               Source    Variance Component
               <br/>
               Var(time)    Var(heat * time)    Var(Error)    Quadratic Term
               <br/>
               Intercept    1.286    .429    1.000    Intercept, heat
               <br/>
               order    .000    .000    1.000    order
               <br/>
               heat    .000    3.000    1.000    heat
               <br/>
               time    9.000    3.000    1.000
               <br/>
               heat * time    .000    3.000    1.000
               <br/>
               Error    .000    .000    1.000
               <br/>
               a    For each source, the expected mean square equals the sum of the coefficients in the cells times the variance components, plus a quadratic term involving effects in the Quadratic Term cell.
               <br/>
               b    Expected Mean Squares are based on the Type III Sums of Squares.
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               2008年3月26日 下午6:30
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              <p>
               表5：
               <br/>
               Contrast Results (K Matrix)
               <br/>
               除气加热率 Polynomial Contrast(a)              Dependent Variable
               <br/>
               金瓷结合强度
               <br/>
               Linear    Contrast Estimate        .166
               <br/>
               Hypothesized Value        0
               <br/>
               Difference (Estimate – Hypothesized)        .166
               <br/>
               Std. Error        .034
               <br/>
               Sig.        .000
               <br/>
               95% Confidence Interval for Difference    Lower Bound    .096
               <br/>
               Upper Bound    .237
               <br/>
               Quadratic    Contrast Estimate        -.184
               <br/>
               Hypothesized Value        0
               <br/>
               Difference (Estimate – Hypothesized)        -.184
               <br/>
               Std. Error        .034
               <br/>
               Sig.        .000
               <br/>
               95% Confidence Interval for Difference    Lower Bound    -.255
               <br/>
               Upper Bound    -.114
               <br/>
               a    Metric = 1.000, 2.000, 3.000
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               2008年3月26日 下午6:31
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              <p>
               表6：
               <br/>
               Test Results
               <br/>
               Dependent Variable: 金瓷结合强度
               <br/>
               Source    Sum of Squares    df    Mean Square    F    Sig.
               <br/>
               Contrast    .739    2    .370    26.582    .000
               <br/>
               Error    .320    23    .014
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               2008年3月26日 下午6:32
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              <p>
               表7：
               <br/>
               1除气加热率
              </p>
              <p>
               Estimates
               <br/>
               Dependent Variable: 金瓷结合强度
               <br/>
               除气加热率    Mean    Std. Error    95% Confidence Interval
               <br/>
               Lower Bound    Upper Bound
               <br/>
               50    13.255(a)    .034    13.185    13.325
               <br/>
               100    13.598(a)    .034    13.528    13.669
               <br/>
               150    13.490(a)    .034    13.420    13.560
               <br/>
               a    Covariates appearing in the model are evaluated at the following values: 次序 = 2.00.
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               2008年3月26日 下午6:32
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              <p>
               表8:
               <br/>
               Pairwise Comparisons
               <br/>
               Dependent Variable: 金瓷结合强度
               <br/>
               (I) 除气加热率    (J) 除气加热率    Mean Difference (I-J)    Std. Error    Sig.(a)    95% Confidence Interval for Difference(a)
               <br/>
               Lower Bound    Upper Bound
               <br/>
               50    100    -.343(*)    .048    .000    -.443    -.244
               <br/>
               150    -.235(*)    .048    .000    -.335    -.135
               <br/>
               100    50    .343(*)    .048    .000    .244    .443
               <br/>
               150    .108(*)    .048    .034    .009    .208
               <br/>
               150    50    .235(*)    .048    .000    .135    .335
               <br/>
               100    -.108(*)    .048    .034    -.208    -.009
               <br/>
               Based on estimated marginal means
               <br/>
               *    The mean difference is significant at the .05 level.
               <br/>
               a    Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments).
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               2008年3月26日 下午6:32
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              <p>
               表9：
               <br/>
               Univariate Tests
               <br/>
               Dependent Variable: 金瓷结合强度
               <br/>
               Sum of Squares    df    Mean Square    F    Sig.
               <br/>
               Contrast    .739    2    .370    26.582    .000
               <br/>
               Error    .320    23    .014
               <br/>
               The F tests the effect of 除气加热率. This test is based on the linearly independent pairwise comparisons among the estimated marginal means.
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               2008年3月26日 下午6:33
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              <p>
               表10：
               <br/>
               2预氧化时间
              </p>
              <p>
               Estimates
               <br/>
               Dependent Variable: 金瓷结合强度
               <br/>
               预氧化时间    Mean    Std. Error    95% Confidence Interval
               <br/>
               Lower Bound    Upper Bound
               <br/>
               0    12.463(a)    .039    12.382    12.545
               <br/>
               1    13.257(a)    .039    13.175    13.338
               <br/>
               3    13.843(a)    .039    13.762    13.925
               <br/>
               5    14.228(a)    .039    14.146    14.309
               <br/>
               a    Covariates appearing in the model are evaluated at the following values: 次序 = 2.00.
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